CakeResume Talent Search

deep learning. Deep Learning Engineer , CVITEK, OctSep 2021 Spin off from Bitmain . Mainly focus on deep learning accelerator (so called NPU or TPU) and stereo vision accelerator. Deep learning accelerator a. Research and prototype the int8, int4 and bf16 quantization algorithm. b. Mix-precision algorithm based on Post training, result had applied patent in US and CN (USA1, CNA). c. Model compression flow (heterogeneous quantization). d. Design quantization flow in deep learning compiler (graph optimization, calibration, fine tuning, mix-precision). e. Implement frontend of deep learning compiler (high

Gavin Jang AI Engineer Taichung City, Taiwan Highly skilled in Machine/ Deep Learning, Statistics, Time Series Analysis, and Multivariate Analysis. Have built a WaveGAN model for generating 12 LEADs ECG signals and a U-Net model for reconstructing 12 LEADs ECG signals. Accomplishments De-Noising Auto-Encoder for ECG Signals U-Net for Reconstructing 12 LEADs ECG Signals WaveGAN for Generating 12 LEADs ECG Signals Deep Learning Model for Heart Disease Diagnosis AI-Based Blood Sugar Detection with ECG Signals Data Visualization and Deep Learning Model for Deep-Sea Fishery Work History AI Engineer Revlis Biotech Co

Lindsay Yuling Chuang I am a Ph.D. candidate of Geophysics at Georgia Tech. My research mainly focus on using various machine learning and deep learning algorithms to solve different seismological problems. I am a data enthusiastic with 10+ years full stack developing experiences. Atlanta, GA, USA Publication Journal paper Earthquake transformer - an attentive deep-learning model for simultaneous earthquake detection and phase picking publication dat SM Mousavi, WL Ellsworth, W Zhu, LY Chuang, GC Beroza Nature communications, 1-12 Plateau subduction, intraslab seismicity, and the Denali (Alaska) volcanic gap publication date L Chuang

吳杰 我畢業於交通大學電子工程研究所，目前專注於機器學習這塊領域。碩士論文主要是研究：如何在物聯網中，利用機器學習的演算法降低總能量消耗。 自己在服役期間，用Deep learning做了一些side project，例如：輸入照片，自動辨別性別與年齡，語意分析，走迷

Tensorflow/Keras/OpenCV Software Engineer • 盛星科技 | Astra Inc. 十二月四月Build innovative computer vision and pedestrian detection backend service - Build and maintain a high availability of deep learning-based computing systems - Develop human detection and facial recognition deep learning models and algorithms [Core technology] - Golang/Python - AWS/DynamoDB/SQS/EC2 - Tensorflow/Keras/OpenCV/openVINO Platform Engineer Intern • Intel 二月六月Survey internal paper and develop the internal script for Xeon SP testing platform - FPGA, OpenCL deep learning and machine learning research - Develop

莊承翰 The devil is in the detail. Video and Image Algorithm, Deep learning, Software development [email protected] Summary Over 8 years of experience in deep learning and more than 10 years of experience in computer vision/image processing. Capable of independently or collaboratively building AI (image/video) products from scratch with various teams. Analyzing, and improving deep learning systems. Kaggle Top 1% ( 16 /Sartorius - Cell Instance Segmentation (2021/12~2021/12) Top 4% ( 85 /Human Protein Atlas Image Classification (2018/11~2019/1

categorical data, text data, imbalance data. Languages Mandarin, English Experience Data Analyst - skymirror co.，AprMaydata modelling Make statistical model for daily or long term trading strategy of Taiwan, China, US future market, and oversea financial derivatives. Reviewing and improving the model. Applying financial indicator or machine learning e.g. Xgboost and RNN to predict market. And improve the model. Study new technical about deep learning or mathematical algorithm and try it on trading. Main goal is to improve model accuracy. Data visualization Communicate with manager how to calculate and decide